WSL环境下TensorFlow无法加载libcudnn_cnn_infer.so.8求助

我按照TensorFlow官方pip安装指南在WSL环境完成安装，过程顺利且系统已识别到GPU，但运行基于Keras构建的简单卷积神经网络时出现问题：

加载TensorFlow时的警告 #

2023-04-14 16:49:19.416633: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT

我理解TensorRT只是优化工具，并非TensorFlow GPU加速的必需组件，但不确定该理解是否正确。

NUMA相关提示 #

Your kernel may have been built without NUMA support.
2023-04-14 16:49:20.660159: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:982] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node

训练时的错误 #

网络能完成编译，但开始训练时出现以下错误：

2023-04-14 16:49:23.948656: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:424] Loaded cuDNN version 8600
Could not load library libcudnn_cnn_infer.so.8. Error: libcuda.so: cannot open shared object file: No such file or directory
Aborted

已尝试的解决方案 #

我尝试了论坛上找到的以下操作：

/usr/lib/wsl/lib/libcuda.so.1 is not a symbolic link

Firstly,
    cd /usr/lib/wsl/lib/
backup "libcuda.so.1" and "libcuda.so",
and
    rm -r libcuda.so.1
    rm -r libcuda.so
Then,
    ln -s libcuda.so.1.1 libcuda.so.1
    ln -s libcuda.so.1.1 libcuda.so
    sudo ldconfig
done.

但执行后反而引发更多错误，恳请提供帮助。

内容的提问来源于stack exchange，提问作者jmannhei